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Remove torch.serialization entries from the doc ignore list (#160224)
Follows the approach done in #158581 Pull Request resolved: https://github.com/pytorch/pytorch/pull/160224 Approved by: https://github.com/janeyx99
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@ -492,6 +492,9 @@ coverage_ignore_functions = [
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"amp_definitely_not_available",
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"amp_definitely_not_available",
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# torch.mtia.memory
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# torch.mtia.memory
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"reset_peak_memory_stats",
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"reset_peak_memory_stats",
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# torch.compiler
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"load_cache_artifacts",
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"save_cache_artifacts",
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# torch.cuda.nccl
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# torch.cuda.nccl
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"all_gather",
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"all_gather",
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"all_reduce",
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"all_reduce",
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@ -1727,17 +1730,6 @@ coverage_ignore_functions = [
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"tensorboard_trace_handler",
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"tensorboard_trace_handler",
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# torch.return_types
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# torch.return_types
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"pytree_register_structseq",
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"pytree_register_structseq",
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# torch.serialization
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"check_module_version_greater_or_equal",
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"default_restore_location",
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"load",
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"location_tag",
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"mkdtemp",
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"normalize_storage_type",
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"save",
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"storage_to_tensor_type",
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"validate_cuda_device",
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"validate_hpu_device",
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# torch.signal.windows.windows
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# torch.signal.windows.windows
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"bartlett",
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"bartlett",
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"blackman",
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"blackman",
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@ -32,3 +32,22 @@ in which they are defined. Feel free to use either the top-level version in ``to
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unique_consecutive
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unique_consecutive
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unravel_index
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unravel_index
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```
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```
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```{eval-rst}
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.. automodule:: torch.serialization
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.. currentmodule:: torch.serialization
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.. autosummary::
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:toctree: generated
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:nosignatures:
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check_module_version_greater_or_equal
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default_restore_location
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load
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location_tag
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mkdtemp
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normalize_storage_type
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save
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storage_to_tensor_type
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validate_cuda_device
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validate_hpu_device
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```
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@ -808,7 +808,6 @@ Operator Tags
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.. py:module:: torch.utils.viz
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.. py:module:: torch.utils.viz
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.. py:module:: torch.quasirandom
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.. py:module:: torch.quasirandom
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.. py:module:: torch.return_types
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.. py:module:: torch.return_types
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.. py:module:: torch.serialization
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.. py:module:: torch.signal.windows.windows
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.. py:module:: torch.signal.windows.windows
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.. py:module:: torch.sparse.semi_structured
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.. py:module:: torch.sparse.semi_structured
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.. py:module:: torch.storage
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.. py:module:: torch.storage
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